![Associate Professor Marius Portmann](/sites/default/files/profiles/1381.jpeg)
Overview
Background
Dr Portmann's research interests are in the area of Computer Networks and Information Security.
Dr Portmann received his PhD in Electrical Engineering from the Swiss Federal Institute of Technology (ETH) in Zurich in 2003. His research interests are in overlay and Peer-to-peer networks and network security.
Employment History:
2013 - present Associate Professor ITEE/UQ
2009 – 2013 Senior Lecturer ITEE/UQ
2004 – 2008 Lecturer ITEE/UQ
2003 – 2004 Research Manager, School of Electrical Engineering and Telecommunications, UNSW
2002 – 2003 Senior Research Officer, School of Electrical Engineering and Telecommunications, UNSW
Availability
- Associate Professor Marius Portmann is:
- Available for supervision
Fields of research
Qualifications
- Masters (Coursework) of Science, Swiss Federal Institute of Technology ETH Zürich
- Doctor of Philosophy, Swiss Federal Institute of Technology ETH Zürich
Research interests
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Cyber Security
Machine Learning based Intrusion Detection
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Computer Networks
IoT Networks, Software Defined Networking (SDN)
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Blockchain Technology
Works
Search Professor Marius Portmann’s works on UQ eSpace
2024
Journal Article
Does every hotel room need a minifridge? Empirical evidence from consumer self-reports and an automatic sensor-based system measuring electricity consumption and guest use
Dolnicar, Sara, Greene, Danyelle, Layeghy, Siamak and Portmann, Marius (2024). Does every hotel room need a minifridge? Empirical evidence from consumer self-reports and an automatic sensor-based system measuring electricity consumption and guest use. Annals of Tourism Research Empirical Insights, 5 (2) 100134, 100134. doi: 10.1016/j.annale.2024.100134
2024
Journal Article
A configurable anonymisation approach for network flow data: Balancing utility and privacy
Manocchio, Liam Daly, Layeghy, Siamak, Gwynne, David and Portmann, Marius (2024). A configurable anonymisation approach for network flow data: Balancing utility and privacy. Computers and Electrical Engineering, 118 109465, 1-16. doi: 10.1016/j.compeleceng.2024.109465
2024
Journal Article
Feature extraction for machine learning-based intrusion detection in IoT networks
Sarhan, Mohanad, Layeghy, Siamak, Moustafa, Nour, Gallagher, Marcus and Portmann, Marius (2024). Feature extraction for machine learning-based intrusion detection in IoT networks. Digital Communications and Networks, 10 (1), 205-216. doi: 10.1016/j.dcan.2022.08.012
2024
Journal Article
Benchmarking the benchmark — Comparing synthetic and real-world Network IDS datasets
Layeghy, Siamak, Gallagher, Marcus and Portmann, Marius (2024). Benchmarking the benchmark — Comparing synthetic and real-world Network IDS datasets. Journal of Information Security and Applications, 80 103689, 1-18. doi: 10.1016/j.jisa.2023.103689
2023
Journal Article
Efficient block contrastive learning via parameter-free meta-node approximation
Kulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2023). Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing, 561 126850. doi: 10.1016/j.neucom.2023.126850
2023
Journal Article
Automatically monitoring environmental performance in tourism – The example of plate waste at all-you-can-eat buffets
Dolnicar, Sara, Gray, Angus, Grün, Bettina, Li, Hongwei and Portmann, Marius (2023). Automatically monitoring environmental performance in tourism – The example of plate waste at all-you-can-eat buffets. Annals of Tourism Research Empirical Insights, 4 (2) 100100, 1-3. doi: 10.1016/j.annale.2023.100100
2023
Journal Article
Exploring Edge TPU for Network Intrusion Detection in IoT
Hosseininoorbin, Seyedehfaezeh, Layeghy, Siamak, Sarhan, Mohanad, Jurdak, Raja and Portmann, Marius (2023). Exploring Edge TPU for Network Intrusion Detection in IoT. Journal of Parallel and Distributed Computing, 179 104712, 1-11. doi: 10.1016/j.jpdc.2023.05.001
2023
Journal Article
HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time-frequency representation
Hosseininoorbin, Seyedehfaezeh, Layeghy, Siamak, Kusy, Brano, Jurdak, Raja and Portmann, Marius (2023). HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time-frequency representation. Internet of Things, 22 100816, 1-17. doi: 10.1016/j.iot.2023.100816
2023
Journal Article
Exploring Edge TPU for deep feed-forward neural networks
Hosseininoorbin, Seyedehfaezeh, Layeghy, Siamak, Kusy, Brano, Jurdak, Raja and Portmann, Marius (2023). Exploring Edge TPU for deep feed-forward neural networks. Internet of Things, 22 100749, 1-16. doi: 10.1016/j.iot.2023.100749
2023
Journal Article
XG-BoT: an explainable deep graph neural network for botnet detection and forensics
Lo, Wai Weng, Kulatilleke, Gayan, Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). XG-BoT: an explainable deep graph neural network for botnet detection and forensics. Internet of Things, 22 100747, 100747. doi: 10.1016/j.iot.2023.100747
2023
Book
Self-powered Internet of Things : How energy harvesters can enable energy-positive sensing, processing, and communication
Sandhu, Muhammad Moid, Khalifa, Sara, Portmann, Marius and Jurdak, Raja (2023). Self-powered Internet of Things : How energy harvesters can enable energy-positive sensing, processing, and communication. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-27685-9
2023
Journal Article
Light-Weight ML Aided Autonomous IoT Networks
Ghosh, Sushmita, Mandal, Akash Kumar, De, Swades, Chatterjee, Shouri and Portmann, Marius (2023). Light-Weight ML Aided Autonomous IoT Networks. IEEE Communications Magazine, 61 (6), 51-57. doi: 10.1109/mcom.001.2200539
2023
Conference Publication
Energy aware smart sensing and implementation in green air pollution monitoring system
Ghosh, Sushmita, Das, Payali, Murugesh, Shakthipriya, De, Swades, Chatterjee, Shouri and Portmann, Marius (2023). Energy aware smart sensing and implementation in green air pollution monitoring system. IEEE International Conference on Communications (IEEE ICC), Rome, Italy, 28 May - 1 June 2023. New York, NY, United States: IEEE. doi: 10.1109/icc45041.2023.10279138
2023
Other Outputs
NF-ToN-IoT
Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-ToN-IoT. The University of Queensland. (Dataset) doi: 10.48610/2fa2ed6
2023
Other Outputs
CIC-BoT-IoT
Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marus (2023). CIC-BoT-IoT. The University of Queensland. (Dataset) doi: 10.48610/c80fccd
2023
Other Outputs
NF-BoT-IoT
Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-BoT-IoT. The University of Queensland. (Dataset) doi: 10.48610/62e6d80
2023
Other Outputs
CIC-ToN-IoT
Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). CIC-ToN-IoT. The University of Queensland. (Dataset) doi: 10.48610/f6884ce
2023
Other Outputs
NF-ToN-IoT-v2
Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-ToN-IoT-v2. The University of Queensland. (Dataset) doi: 10.48610/38a2d07
2023
Other Outputs
NF-UQ-NIDS-v2
Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-UQ-NIDS-v2. The University of Queensland. (Dataset) doi: 10.48610/631a24a
2023
Other Outputs
NF-UNSW-NB15-v2
Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). NF-UNSW-NB15-v2. The University of Queensland. (Dataset) doi: 10.48610/ffbb0c1
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Marius Portmann is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Learning-based optimisation strategies for sustainable IoT communications
Principal Advisor
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Doctor Philosophy
Towards Autonomous Network Security
Principal Advisor
Other advisors: Associate Professor Marcus Gallagher, Dr Siamak Layeghy
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Doctor Philosophy
Low-energy LoRaWAN-based automatic and continuous measurement of organisational environmental performance.
Principal Advisor
Other advisors: Dr Siamak Layeghy, Professor Sara Dolnicar
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Doctor Philosophy
Exploring the Capabilities of LoRaWAN IoT Technology for Multisensor Data Collection and Analysis
Principal Advisor
Other advisors: Dr Siamak Layeghy, Professor Sara Dolnicar
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Doctor Philosophy
Enhancing the Privacy-Preserving ML techniques with Functional Encryption approach
Associate Advisor
Other advisors: Dr Siamak Layeghy
Completed supervision
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2023
Doctor Philosophy
Deep Learning at the Edge: Exploring in-situ Classification in IoT
Principal Advisor
Other advisors: Dr Siamak Layeghy
-
2023
Doctor Philosophy
The Detection of Network Cyber Attacks Using Machine Learning
Principal Advisor
Other advisors: Associate Professor Marcus Gallagher, Dr Siamak Layeghy
-
2023
Master Philosophy
Graph Representation Learning for Cyberattack Detection and Forensics
Principal Advisor
Other advisors: Associate Professor Marcus Gallagher, Dr Siamak Layeghy
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2022
Doctor Philosophy
Energy-Positive Activity Recognition towards Batteryless IoT
Principal Advisor
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2022
Doctor Philosophy
Crosschain Communications: Blockchain Discovery, Atomic Crosschain Function Calls, and Blockchain State Pinning
Principal Advisor
Other advisors: Dr David Hyland-Wood
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2020
Doctor Philosophy
Performance Enhancement of Software Defined Cellular LTE and Internet-of-Things Networks
Principal Advisor
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2020
Doctor Philosophy
Multi-Radio Data Fusion for Indoor localization using WiFi and Bluetooth
Principal Advisor
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2019
Doctor Philosophy
Traffic Control for Multi-homed End-hosts via Software Defined Networking
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2018
Doctor Philosophy
SCOR: Software-defined Constrained Optimal Routing Platform for SDN
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2018
Doctor Philosophy
Security in Software Defined Networks
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2017
Doctor Philosophy
Towards Software Defined Wireless Mesh Networks
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2014
Doctor Philosophy
TOWARDS TAILORED AND ADAPTIVE WIRELESS MULTI-HOP ROUTING PROTOCOLS
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2013
Doctor Philosophy
Accurate and Low-Cost Link Capacity Estimation in IEEE 802.11-based Wireless Mesh Networks
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2012
Doctor Philosophy
Random-access MIMO in Single Hop and Wireless Mesh Network Settings
Principal Advisor
Other advisors: Professor Aleksandar Rakic
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2023
Doctor Philosophy
Towards Efficient Graph Neural Networks for Optimizing Illicit Dark Web Interventions
Associate Advisor
Other advisors: Dr Shakes Chandra
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2016
Doctor Philosophy
Collaborative Streaming of On Demand Videos for Mobile Devices
Associate Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2015
Doctor Philosophy
Context awareness in opportunistic computing
Associate Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
-
2014
Doctor Philosophy
A Context Management System for Wireless Mesh Networks
Associate Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2012
Doctor Philosophy
MAC Rate Control Mechanisms in 802.11 Networks
Associate Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2009
Doctor Philosophy
An Autonomic Context Management System for Pervasive Computing
Associate Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
Media
Enquiries
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